SlideShare a Scribd company logo
1
 How can we run DMAP V.1.0 (Drought Monitoring And Prediction)?
The DMAP (Drought Monitoring And Prediction) software is a comprehensive tool that can run
18 drought indices in three different drought types, namely meteorological drought (SPI, PN, DI,
RAI, RDI, ZSI, CZI, MCZI, EDI, KBDI, PDSI, PHDI, SPEI), agricultural drought (ETDI, SMDI,
ARI), and hydrological drought (SWSI and SDI). For running this software you can follow these
steps one by one.
Step 1:
The DMAP tool has 4 tabs, that in this version the point option is active, the region ability will
active in the next version (Fig. 1). For starting the software, first select the first tab, “Input Excel
File” (Fig.2 No. 1). If you want to browse a text file, first you should assign your delimiter (such
a space, comma, semicolon, etc.) (Fig.2 No. 2), if you want to browse an excel file it doesn’t need
to assign a delimiter. Then you can press “Open File” (Fig.2 No. 3).
In Fig.2 No. 4, you can see the open window for selecting the desirable input file. In the open
window, you select your file easily, and then click “Open” button.
Figure 1. The main screen of DMAP tool with the main tabs.
2
According to the Fig. 3 No. 1, you can see all the sheets that are available in your excel file, so
select the proper sheet. In this example we select “Mashhad” sheet that it has several important
weather data of Mashhad synoptic station. If your excel file sheet has header of columns so please
select the “first Row is header” option (Fig. 3 No. 2), also in “Input Timing” you can select time
scale of the input file. In the presented example here, the input data are in daily sale, so we check
“Daily” (Fig. 3 No. 3).
Figure 2. The input excel file tap and the details.
1
2 3
4
Figure 3. Browse your input file and select your sheet
3
After the desirable sheet was selected then it is the turn of assignments of weather variables.
Therefore, as presented in Fig. 4 No.1, you can apply the format of your time scale. If your time
data have a format like the 1986, then you should select “YYYY” in the combo box (Fig. 4). In
this example for time, there are just the Julian years for each day of year.
Then you should assign the header of each column. Attention please, as you see in Fig. 5, in this
example the first column was assigned to the “Date”, but there is not any special order for the
columns, and this is actually one of the best advantage of the DMAP tool. Also, as presented in
Fig.6 assign all the variables, if one or more columns are not necessary to assign, you should
remain them with any header.
Figure 4. Select the format of time.
Figure 5. Assign the variables.
4
As you see in Fig. 6, in this sample input file the second column not necessary for assignment, so
the header is “None“(Fig. 6 No. 1) and it doesn’t consider for calculation drought indices. In this
sample the first column is “Date”, and others are respectively equal to “None”, “Tmax”, “Rain”,
and “T”, that Tmax refers to maximum temperature, Rain for the amount of precipitation, and T
refers to mean of temperature. Finally, press the “Load Data” button (Fig. 6 No. 2). Then you will
face to a small window “Data loaded”, click it and go to the next step (Fig. 7).
Figure 6. Assign all the variables, without any specific order.
2
Figure 7. Click the “Data Loaded” button.
5
Step 2:
In this step please click on the “Drought Indices” tab in the Tab menu. The first panel in this screen
is related to the “Calculator” setting. According to the Fig. 8, you can see a small panel that its
name is “Timing”. In this panel you can set the start (Fig. 8) and the end (Fig. 9) years.
Figure 9. Select the end year in the “Timing” panel.
Figure 8. Select the start year in the “Timing” panel.
6
Then you can select your desirable index from the “Indices” panel, then the “Frequency” panel
will highlighted for selecting. According to the selected index in “Indices” panel, the “Frequency”
panel has different type. In this example, since the “SPI” index (Fig. 10 No. 1) was selected so the
“Frequency” panel has three types, namely Yearly, Seasonally, and Monthly. As you see in Fig.
10, we selected “Yearly” type for calculation of SPI output (Fig. 10 No. 2).
Figure 10. Select the end year in the “Timing” panel.
Figure 11. Generate value of the selected index.
7
By clicking “OK” button, the index’s value was calculated if the user wants to see the values, by
clicking the “Send to table” button (Fig. 12 No. 1), the user can see the values of selected drought
index in the “Output Data” table (Fig. 12 No. 2). If the user wants to export the outputs of the
index, he/she can click on the “Export To Excel” button that it is located in the right corner of the
screen (Fig. 12 No. 3). By clicking this button, a browse window will open to select a name for
the excel output file in a wanted path (Fig. 13). When the file successfully saved, the user can see
a small dialog box that will show a message with this content “The file was saved successfully”
(Fig. 14).
Figure 12. Send the output of selected index to the table.
Figure 13. Select a name and path for the selected index’s outputs in an excel file.
8
If you want to plot the values of calculated index, you can set some characteristics of the plot
settings. You can do this settings in the “Plots” panel as shown in Fig. 15 No.1. In the “Tool”
option, first the user can select desirable domain for start and end year. In “Chart Options”, you
can type a proper title (Fig. 15 No.2, in this sample we have typed “SPI Mashhad”) for your graph
and also if you want your graph has horizontal line in the background you can click the “H-Line”
option (Fig. 15 No.3).
Figure 14. Select a name and path for the selected index’s outputs in an excel file.
Figure 15. Assign some characteristics for Setting of the plot.
1
9
You have two options for selecting the color of the graph, namely “Grayscale” and “Color plot”.
If you don’t select other colors you can just click “Grayscale” option, otherwise click on the combo
box, then you can see lots of different colors and as well you can select one of them for the graph
(Fig. 16). At last, you can choose your “type of plot” (Fig. 16 No. 1). There are three options,
namely “BoxPlot”, “Linear”, and “Columnar” (Fig. 16 No. 1). Finally, after selecting the type of
graph you can click on the “Plot” button, and observe the selected graph. The selected graph in
this example is “Linear”, so in Fig.17 you can see it, according to this graph since the typed titled
was “SPI Mashhad”, so in the presented graph you can see this title. If you want to change it you
can easily do it by typing another one in the “Chart Option” panel.
Figure 16. Select the proper color and title for the plot.
Figure 17. Plot the desirable graph for the output of index.
10
In Fig. 18 and Fig. 19, we plotted the yearly boxplot of SPI values, and the yearly columnar plot
of SPI, respectively by clicking the “Boxplot” and “Columnar” options.
Figure 18. The yearly Boxplot for the output of SPI.
Figure 19. The columnar plot for the yearly output of SPI.
11
Step 3:’Calculate Severity and Duration’
One of the most important characteristic that Agrimetsoft was considered in the DMAP
(Drought Monitoring and Prediction) software, is calculating severity and duration of
drought event. In Fig. 20 and in the right side of screen, you can see a panel with the
name of “Severity”. In this panel for calculating the severity and duration of drought
in a specific region, first of all you should determine the range of the desirable drought,
for example in SPI the specific border of drought classification is less than -0.99. This
border can easily find for every index according to the origin paper that was published
for each index. You can select one of the two options, namely “More than” or “Less
than”. Fig. 21 presented the severity and durations of drought index. In this sample, we
have calculated SPI, so the label of “Y” axe is “SPI”. Also, as you can see in Fig. 21at
the top the graph, there is a table that
Figure 20. The severity panel for assign border.
12
Figure 21. The columnar plot for the yearly output of SPI.
Figure 21. The values of severity and duration.
13
Figure 6
14

More Related Content

What's hot

Pivot Table & Chart_Parakramesh Jaroli_Pacific University
Pivot Table & Chart_Parakramesh Jaroli_Pacific UniversityPivot Table & Chart_Parakramesh Jaroli_Pacific University
Pivot Table & Chart_Parakramesh Jaroli_Pacific UniversityParakramesh Jaroli
 
Using Microsoft Excel4 Charts
Using Microsoft Excel4 ChartsUsing Microsoft Excel4 Charts
Using Microsoft Excel4 ChartsJack Frost
 
Creating visual representations of time period data
Creating visual representations of time period dataCreating visual representations of time period data
Creating visual representations of time period dataQHRClinicalOps
 
Analyzing data using application in MS Excel
Analyzing data using application in MS ExcelAnalyzing data using application in MS Excel
Analyzing data using application in MS ExcelShohag Das
 
How to make Gantt chart in Excel
How to make Gantt chart in ExcelHow to make Gantt chart in Excel
How to make Gantt chart in ExcelNavjyotsinh Jadeja
 
Cgc Make Your Own Gis
Cgc Make Your Own GisCgc Make Your Own Gis
Cgc Make Your Own GistprattHWDSB
 
Lesson 11 working with charts
Lesson 11   working with chartsLesson 11   working with charts
Lesson 11 working with chartsguevarra_2000
 
Lesson11 working with charts
Lesson11 working with chartsLesson11 working with charts
Lesson11 working with chartsricsanmae
 
Help drought indices tool
Help drought indices toolHelp drought indices tool
Help drought indices toolSohrab Kolsoumi
 
Dashboard and Database Manual for AFG
Dashboard and Database Manual for AFGDashboard and Database Manual for AFG
Dashboard and Database Manual for AFGAbigail Anderson
 
Charts in excel 2007
Charts in excel 2007Charts in excel 2007
Charts in excel 2007bloftinsaisd
 
Power BI - Getting Started Guide
Power BI - Getting Started GuidePower BI - Getting Started Guide
Power BI - Getting Started GuideBruce Jenks
 
Business objects BO guide
Business objects BO guideBusiness objects BO guide
Business objects BO guideClement Ang
 
Libre Office Calc Lesson 2: Formatting and Charts
Libre Office Calc Lesson 2: Formatting and ChartsLibre Office Calc Lesson 2: Formatting and Charts
Libre Office Calc Lesson 2: Formatting and ChartsSmart Chicago Collaborative
 
Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Compu...
Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Compu...Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Compu...
Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Compu...Cengage Learning
 
How to use Pivot Table in Analyzing Sales
How to use Pivot Table in Analyzing SalesHow to use Pivot Table in Analyzing Sales
How to use Pivot Table in Analyzing Salesreyeshazel
 
MS Excel Pivot Table Reports & Charts
MS Excel Pivot Table Reports & ChartsMS Excel Pivot Table Reports & Charts
MS Excel Pivot Table Reports & Chartsdnbakhan
 

What's hot (19)

Pivot Table & Chart_Parakramesh Jaroli_Pacific University
Pivot Table & Chart_Parakramesh Jaroli_Pacific UniversityPivot Table & Chart_Parakramesh Jaroli_Pacific University
Pivot Table & Chart_Parakramesh Jaroli_Pacific University
 
Using Microsoft Excel4 Charts
Using Microsoft Excel4 ChartsUsing Microsoft Excel4 Charts
Using Microsoft Excel4 Charts
 
Creating visual representations of time period data
Creating visual representations of time period dataCreating visual representations of time period data
Creating visual representations of time period data
 
Analyzing data using application in MS Excel
Analyzing data using application in MS ExcelAnalyzing data using application in MS Excel
Analyzing data using application in MS Excel
 
How to make Gantt chart in Excel
How to make Gantt chart in ExcelHow to make Gantt chart in Excel
How to make Gantt chart in Excel
 
Cgc Make Your Own Gis
Cgc Make Your Own GisCgc Make Your Own Gis
Cgc Make Your Own Gis
 
Exercise 6
Exercise 6Exercise 6
Exercise 6
 
Excel booklet
Excel bookletExcel booklet
Excel booklet
 
Lesson 11 working with charts
Lesson 11   working with chartsLesson 11   working with charts
Lesson 11 working with charts
 
Lesson11 working with charts
Lesson11 working with chartsLesson11 working with charts
Lesson11 working with charts
 
Help drought indices tool
Help drought indices toolHelp drought indices tool
Help drought indices tool
 
Dashboard and Database Manual for AFG
Dashboard and Database Manual for AFGDashboard and Database Manual for AFG
Dashboard and Database Manual for AFG
 
Charts in excel 2007
Charts in excel 2007Charts in excel 2007
Charts in excel 2007
 
Power BI - Getting Started Guide
Power BI - Getting Started GuidePower BI - Getting Started Guide
Power BI - Getting Started Guide
 
Business objects BO guide
Business objects BO guideBusiness objects BO guide
Business objects BO guide
 
Libre Office Calc Lesson 2: Formatting and Charts
Libre Office Calc Lesson 2: Formatting and ChartsLibre Office Calc Lesson 2: Formatting and Charts
Libre Office Calc Lesson 2: Formatting and Charts
 
Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Compu...
Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Compu...Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Compu...
Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Compu...
 
How to use Pivot Table in Analyzing Sales
How to use Pivot Table in Analyzing SalesHow to use Pivot Table in Analyzing Sales
How to use Pivot Table in Analyzing Sales
 
MS Excel Pivot Table Reports & Charts
MS Excel Pivot Table Reports & ChartsMS Excel Pivot Table Reports & Charts
MS Excel Pivot Table Reports & Charts
 

Similar to Help of drought monitoring and prediction

Help of meteorological drought monitoring
Help of meteorological drought monitoringHelp of meteorological drought monitoring
Help of meteorological drought monitoringSohrab Kolsoumi
 
Help of netcdf extractor
Help of netcdf extractorHelp of netcdf extractor
Help of netcdf extractorSohrab Kolsoumi
 
Lecture 10: introduction to computer
Lecture 10: introduction to computerLecture 10: introduction to computer
Lecture 10: introduction to computerSultan Omar Shige
 
Microsoft mathmatics step-by-step_guide
Microsoft mathmatics step-by-step_guideMicrosoft mathmatics step-by-step_guide
Microsoft mathmatics step-by-step_guideAnang Anang
 
Introduction to Eikon Excel
Introduction to Eikon ExcelIntroduction to Eikon Excel
Introduction to Eikon Excelisc_library
 
ARC GIS 9.1 - Part 4
ARC GIS 9.1 - Part 4ARC GIS 9.1 - Part 4
ARC GIS 9.1 - Part 4Ahmed Mahdi
 
Week 2 Project - STAT 3001Student Name Type your name here.docx
Week 2 Project - STAT 3001Student Name Type your name here.docxWeek 2 Project - STAT 3001Student Name Type your name here.docx
Week 2 Project - STAT 3001Student Name Type your name here.docxcockekeshia
 
TAO Fayan_Canvas design by tcltk_Final report
TAO Fayan_Canvas design by tcltk_Final reportTAO Fayan_Canvas design by tcltk_Final report
TAO Fayan_Canvas design by tcltk_Final reportFayan TAO
 
Nycct GIS_primer tutorial
Nycct  GIS_primer tutorialNycct  GIS_primer tutorial
Nycct GIS_primer tutorialNYCCTfab
 
ABAP for Beginners - www.sapdocs.info
ABAP for Beginners - www.sapdocs.infoABAP for Beginners - www.sapdocs.info
ABAP for Beginners - www.sapdocs.infosapdocs. info
 
Acad civil3 d_points_manual
Acad civil3 d_points_manualAcad civil3 d_points_manual
Acad civil3 d_points_manualMiodrag Hrenek
 
AUTOCAD Report
AUTOCAD ReportAUTOCAD Report
AUTOCAD ReportAMIT RAJ
 
Autocad 2007 Workbook Tutorial
Autocad 2007 Workbook TutorialAutocad 2007 Workbook Tutorial
Autocad 2007 Workbook TutorialJhongNatz
 

Similar to Help of drought monitoring and prediction (20)

Help of meteorological drought monitoring
Help of meteorological drought monitoringHelp of meteorological drought monitoring
Help of meteorological drought monitoring
 
Help of knn wg
Help of knn wgHelp of knn wg
Help of knn wg
 
Help of netcdf extractor
Help of netcdf extractorHelp of netcdf extractor
Help of netcdf extractor
 
Kbdi help
Kbdi helpKbdi help
Kbdi help
 
Lecture 10: introduction to computer
Lecture 10: introduction to computerLecture 10: introduction to computer
Lecture 10: introduction to computer
 
Microsoft mathmatics step-by-step_guide
Microsoft mathmatics step-by-step_guideMicrosoft mathmatics step-by-step_guide
Microsoft mathmatics step-by-step_guide
 
Risa education tut
Risa education tutRisa education tut
Risa education tut
 
Introduction to Eikon Excel
Introduction to Eikon ExcelIntroduction to Eikon Excel
Introduction to Eikon Excel
 
Readme-GPS Data Conversion for GIS Unit
Readme-GPS Data Conversion for GIS UnitReadme-GPS Data Conversion for GIS Unit
Readme-GPS Data Conversion for GIS Unit
 
ARC GIS 9.1 - Part 4
ARC GIS 9.1 - Part 4ARC GIS 9.1 - Part 4
ARC GIS 9.1 - Part 4
 
Week 2 Project - STAT 3001Student Name Type your name here.docx
Week 2 Project - STAT 3001Student Name Type your name here.docxWeek 2 Project - STAT 3001Student Name Type your name here.docx
Week 2 Project - STAT 3001Student Name Type your name here.docx
 
DMAP Tutorial
DMAP TutorialDMAP Tutorial
DMAP Tutorial
 
Ex32018.pdf
Ex32018.pdfEx32018.pdf
Ex32018.pdf
 
TAO Fayan_Canvas design by tcltk_Final report
TAO Fayan_Canvas design by tcltk_Final reportTAO Fayan_Canvas design by tcltk_Final report
TAO Fayan_Canvas design by tcltk_Final report
 
Autocad LT2008 tutorial
Autocad LT2008 tutorialAutocad LT2008 tutorial
Autocad LT2008 tutorial
 
Nycct GIS_primer tutorial
Nycct  GIS_primer tutorialNycct  GIS_primer tutorial
Nycct GIS_primer tutorial
 
ABAP for Beginners - www.sapdocs.info
ABAP for Beginners - www.sapdocs.infoABAP for Beginners - www.sapdocs.info
ABAP for Beginners - www.sapdocs.info
 
Acad civil3 d_points_manual
Acad civil3 d_points_manualAcad civil3 d_points_manual
Acad civil3 d_points_manual
 
AUTOCAD Report
AUTOCAD ReportAUTOCAD Report
AUTOCAD Report
 
Autocad 2007 Workbook Tutorial
Autocad 2007 Workbook TutorialAutocad 2007 Workbook Tutorial
Autocad 2007 Workbook Tutorial
 

More from Sohrab Kolsoumi

More from Sohrab Kolsoumi (6)

SD-GM Tutorial
SD-GM TutorialSD-GM Tutorial
SD-GM Tutorial
 
SD-GCM Formulas
SD-GCM FormulasSD-GCM Formulas
SD-GCM Formulas
 
Modis Product Extractor Turorial
Modis Product Extractor TurorialModis Product Extractor Turorial
Modis Product Extractor Turorial
 
DMAP Formulas
DMAP FormulasDMAP Formulas
DMAP Formulas
 
Open NC File Formulas
Open NC File FormulasOpen NC File Formulas
Open NC File Formulas
 
What is cru
What is cruWhat is cru
What is cru
 

Recently uploaded

Paper: Man and Environmental relationship
Paper: Man and Environmental relationshipPaper: Man and Environmental relationship
Paper: Man and Environmental relationshipSANTU GUCHHAIT
 
Powers of State Pollution Control Board - The Water Act 1974
Powers of State Pollution Control Board - The Water Act 1974Powers of State Pollution Control Board - The Water Act 1974
Powers of State Pollution Control Board - The Water Act 1974linciy03
 
CHLORITE( a phyllosilicate clay mineral)
CHLORITE( a phyllosilicate clay mineral)CHLORITE( a phyllosilicate clay mineral)
CHLORITE( a phyllosilicate clay mineral)malleshmalli2994
 
Genetic diversity and association analysis for different morphological traits...
Genetic diversity and association analysis for different morphological traits...Genetic diversity and association analysis for different morphological traits...
Genetic diversity and association analysis for different morphological traits...Open Access Research Paper
 
DRAFT NRW Recreation Strategy - People and Nature thriving together
DRAFT NRW Recreation Strategy - People and Nature thriving togetherDRAFT NRW Recreation Strategy - People and Nature thriving together
DRAFT NRW Recreation Strategy - People and Nature thriving togetherRobin Grant
 
@@how to Join @occult for money ritual..☎️+2349022657119.
@@how to Join @occult for money ritual..☎️+2349022657119.@@how to Join @occult for money ritual..☎️+2349022657119.
@@how to Join @occult for money ritual..☎️+2349022657119.RoyaleEaglepriest
 
NRW Board Paper - DRAFT NRW Recreation Strategy
NRW Board Paper - DRAFT NRW Recreation StrategyNRW Board Paper - DRAFT NRW Recreation Strategy
NRW Board Paper - DRAFT NRW Recreation StrategyRobin Grant
 
一比一原版(Massey毕业证)梅西大学毕业证成绩单
一比一原版(Massey毕业证)梅西大学毕业证成绩单一比一原版(Massey毕业证)梅西大学毕业证成绩单
一比一原版(Massey毕业证)梅西大学毕业证成绩单tyvaq
 
一比一原版(Adelaide毕业证)阿德莱德大学毕业证成绩单
一比一原版(Adelaide毕业证)阿德莱德大学毕业证成绩单一比一原版(Adelaide毕业证)阿德莱德大学毕业证成绩单
一比一原版(Adelaide毕业证)阿德莱德大学毕业证成绩单qogbuux
 
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...Open Access Research Paper
 
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单一比一原版(Monash毕业证)莫纳什大学毕业证成绩单
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单pcoow
 
一比一原版(SUT毕业证)斯威本科技大学毕业证成绩单
一比一原版(SUT毕业证)斯威本科技大学毕业证成绩单一比一原版(SUT毕业证)斯威本科技大学毕业证成绩单
一比一原版(SUT毕业证)斯威本科技大学毕业证成绩单pcoow
 
Prevention and Control of Water Pollution
Prevention and Control of Water PollutionPrevention and Control of Water Pollution
Prevention and Control of Water Pollutionlinciy03
 
Powers and Functions of CPCB - The Water Act 1974.pdf
Powers and Functions of CPCB - The Water Act 1974.pdfPowers and Functions of CPCB - The Water Act 1974.pdf
Powers and Functions of CPCB - The Water Act 1974.pdflinciy03
 
DESERT ECOSYSTEM AND ITS CHARACTERISTICS AND TYPES
DESERT ECOSYSTEM AND ITS CHARACTERISTICS AND TYPESDESERT ECOSYSTEM AND ITS CHARACTERISTICS AND TYPES
DESERT ECOSYSTEM AND ITS CHARACTERISTICS AND TYPESSumayyaSayeeda
 
一比一原版(Southern Cross毕业证)南十字星大学毕业证成绩单
一比一原版(Southern Cross毕业证)南十字星大学毕业证成绩单一比一原版(Southern Cross毕业证)南十字星大学毕业证成绩单
一比一原版(Southern Cross毕业证)南十字星大学毕业证成绩单yegohah
 
Prevalence, biochemical and hematological study of diabetic patients
Prevalence, biochemical and hematological study of diabetic patientsPrevalence, biochemical and hematological study of diabetic patients
Prevalence, biochemical and hematological study of diabetic patientsOpen Access Research Paper
 
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单一比一原版(Monash毕业证)莫纳什大学毕业证成绩单
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单qogbuux
 
Natural farming @ Dr. Siddhartha S. Jena.pptx
Natural farming @ Dr. Siddhartha S. Jena.pptxNatural farming @ Dr. Siddhartha S. Jena.pptx
Natural farming @ Dr. Siddhartha S. Jena.pptxsidjena70
 

Recently uploaded (20)

Paper: Man and Environmental relationship
Paper: Man and Environmental relationshipPaper: Man and Environmental relationship
Paper: Man and Environmental relationship
 
Powers of State Pollution Control Board - The Water Act 1974
Powers of State Pollution Control Board - The Water Act 1974Powers of State Pollution Control Board - The Water Act 1974
Powers of State Pollution Control Board - The Water Act 1974
 
CHLORITE( a phyllosilicate clay mineral)
CHLORITE( a phyllosilicate clay mineral)CHLORITE( a phyllosilicate clay mineral)
CHLORITE( a phyllosilicate clay mineral)
 
Genetic diversity and association analysis for different morphological traits...
Genetic diversity and association analysis for different morphological traits...Genetic diversity and association analysis for different morphological traits...
Genetic diversity and association analysis for different morphological traits...
 
DRAFT NRW Recreation Strategy - People and Nature thriving together
DRAFT NRW Recreation Strategy - People and Nature thriving togetherDRAFT NRW Recreation Strategy - People and Nature thriving together
DRAFT NRW Recreation Strategy - People and Nature thriving together
 
@@how to Join @occult for money ritual..☎️+2349022657119.
@@how to Join @occult for money ritual..☎️+2349022657119.@@how to Join @occult for money ritual..☎️+2349022657119.
@@how to Join @occult for money ritual..☎️+2349022657119.
 
NRW Board Paper - DRAFT NRW Recreation Strategy
NRW Board Paper - DRAFT NRW Recreation StrategyNRW Board Paper - DRAFT NRW Recreation Strategy
NRW Board Paper - DRAFT NRW Recreation Strategy
 
一比一原版(Massey毕业证)梅西大学毕业证成绩单
一比一原版(Massey毕业证)梅西大学毕业证成绩单一比一原版(Massey毕业证)梅西大学毕业证成绩单
一比一原版(Massey毕业证)梅西大学毕业证成绩单
 
一比一原版(Adelaide毕业证)阿德莱德大学毕业证成绩单
一比一原版(Adelaide毕业证)阿德莱德大学毕业证成绩单一比一原版(Adelaide毕业证)阿德莱德大学毕业证成绩单
一比一原版(Adelaide毕业证)阿德莱德大学毕业证成绩单
 
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...
 
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单一比一原版(Monash毕业证)莫纳什大学毕业证成绩单
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单
 
一比一原版(SUT毕业证)斯威本科技大学毕业证成绩单
一比一原版(SUT毕业证)斯威本科技大学毕业证成绩单一比一原版(SUT毕业证)斯威本科技大学毕业证成绩单
一比一原版(SUT毕业证)斯威本科技大学毕业证成绩单
 
Prevention and Control of Water Pollution
Prevention and Control of Water PollutionPrevention and Control of Water Pollution
Prevention and Control of Water Pollution
 
Powers and Functions of CPCB - The Water Act 1974.pdf
Powers and Functions of CPCB - The Water Act 1974.pdfPowers and Functions of CPCB - The Water Act 1974.pdf
Powers and Functions of CPCB - The Water Act 1974.pdf
 
Major-Environmental-Problems and Proven Solutions.pdf
Major-Environmental-Problems and Proven Solutions.pdfMajor-Environmental-Problems and Proven Solutions.pdf
Major-Environmental-Problems and Proven Solutions.pdf
 
DESERT ECOSYSTEM AND ITS CHARACTERISTICS AND TYPES
DESERT ECOSYSTEM AND ITS CHARACTERISTICS AND TYPESDESERT ECOSYSTEM AND ITS CHARACTERISTICS AND TYPES
DESERT ECOSYSTEM AND ITS CHARACTERISTICS AND TYPES
 
一比一原版(Southern Cross毕业证)南十字星大学毕业证成绩单
一比一原版(Southern Cross毕业证)南十字星大学毕业证成绩单一比一原版(Southern Cross毕业证)南十字星大学毕业证成绩单
一比一原版(Southern Cross毕业证)南十字星大学毕业证成绩单
 
Prevalence, biochemical and hematological study of diabetic patients
Prevalence, biochemical and hematological study of diabetic patientsPrevalence, biochemical and hematological study of diabetic patients
Prevalence, biochemical and hematological study of diabetic patients
 
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单一比一原版(Monash毕业证)莫纳什大学毕业证成绩单
一比一原版(Monash毕业证)莫纳什大学毕业证成绩单
 
Natural farming @ Dr. Siddhartha S. Jena.pptx
Natural farming @ Dr. Siddhartha S. Jena.pptxNatural farming @ Dr. Siddhartha S. Jena.pptx
Natural farming @ Dr. Siddhartha S. Jena.pptx
 

Help of drought monitoring and prediction

  • 1. 1  How can we run DMAP V.1.0 (Drought Monitoring And Prediction)? The DMAP (Drought Monitoring And Prediction) software is a comprehensive tool that can run 18 drought indices in three different drought types, namely meteorological drought (SPI, PN, DI, RAI, RDI, ZSI, CZI, MCZI, EDI, KBDI, PDSI, PHDI, SPEI), agricultural drought (ETDI, SMDI, ARI), and hydrological drought (SWSI and SDI). For running this software you can follow these steps one by one. Step 1: The DMAP tool has 4 tabs, that in this version the point option is active, the region ability will active in the next version (Fig. 1). For starting the software, first select the first tab, “Input Excel File” (Fig.2 No. 1). If you want to browse a text file, first you should assign your delimiter (such a space, comma, semicolon, etc.) (Fig.2 No. 2), if you want to browse an excel file it doesn’t need to assign a delimiter. Then you can press “Open File” (Fig.2 No. 3). In Fig.2 No. 4, you can see the open window for selecting the desirable input file. In the open window, you select your file easily, and then click “Open” button. Figure 1. The main screen of DMAP tool with the main tabs.
  • 2. 2 According to the Fig. 3 No. 1, you can see all the sheets that are available in your excel file, so select the proper sheet. In this example we select “Mashhad” sheet that it has several important weather data of Mashhad synoptic station. If your excel file sheet has header of columns so please select the “first Row is header” option (Fig. 3 No. 2), also in “Input Timing” you can select time scale of the input file. In the presented example here, the input data are in daily sale, so we check “Daily” (Fig. 3 No. 3). Figure 2. The input excel file tap and the details. 1 2 3 4 Figure 3. Browse your input file and select your sheet
  • 3. 3 After the desirable sheet was selected then it is the turn of assignments of weather variables. Therefore, as presented in Fig. 4 No.1, you can apply the format of your time scale. If your time data have a format like the 1986, then you should select “YYYY” in the combo box (Fig. 4). In this example for time, there are just the Julian years for each day of year. Then you should assign the header of each column. Attention please, as you see in Fig. 5, in this example the first column was assigned to the “Date”, but there is not any special order for the columns, and this is actually one of the best advantage of the DMAP tool. Also, as presented in Fig.6 assign all the variables, if one or more columns are not necessary to assign, you should remain them with any header. Figure 4. Select the format of time. Figure 5. Assign the variables.
  • 4. 4 As you see in Fig. 6, in this sample input file the second column not necessary for assignment, so the header is “None“(Fig. 6 No. 1) and it doesn’t consider for calculation drought indices. In this sample the first column is “Date”, and others are respectively equal to “None”, “Tmax”, “Rain”, and “T”, that Tmax refers to maximum temperature, Rain for the amount of precipitation, and T refers to mean of temperature. Finally, press the “Load Data” button (Fig. 6 No. 2). Then you will face to a small window “Data loaded”, click it and go to the next step (Fig. 7). Figure 6. Assign all the variables, without any specific order. 2 Figure 7. Click the “Data Loaded” button.
  • 5. 5 Step 2: In this step please click on the “Drought Indices” tab in the Tab menu. The first panel in this screen is related to the “Calculator” setting. According to the Fig. 8, you can see a small panel that its name is “Timing”. In this panel you can set the start (Fig. 8) and the end (Fig. 9) years. Figure 9. Select the end year in the “Timing” panel. Figure 8. Select the start year in the “Timing” panel.
  • 6. 6 Then you can select your desirable index from the “Indices” panel, then the “Frequency” panel will highlighted for selecting. According to the selected index in “Indices” panel, the “Frequency” panel has different type. In this example, since the “SPI” index (Fig. 10 No. 1) was selected so the “Frequency” panel has three types, namely Yearly, Seasonally, and Monthly. As you see in Fig. 10, we selected “Yearly” type for calculation of SPI output (Fig. 10 No. 2). Figure 10. Select the end year in the “Timing” panel. Figure 11. Generate value of the selected index.
  • 7. 7 By clicking “OK” button, the index’s value was calculated if the user wants to see the values, by clicking the “Send to table” button (Fig. 12 No. 1), the user can see the values of selected drought index in the “Output Data” table (Fig. 12 No. 2). If the user wants to export the outputs of the index, he/she can click on the “Export To Excel” button that it is located in the right corner of the screen (Fig. 12 No. 3). By clicking this button, a browse window will open to select a name for the excel output file in a wanted path (Fig. 13). When the file successfully saved, the user can see a small dialog box that will show a message with this content “The file was saved successfully” (Fig. 14). Figure 12. Send the output of selected index to the table. Figure 13. Select a name and path for the selected index’s outputs in an excel file.
  • 8. 8 If you want to plot the values of calculated index, you can set some characteristics of the plot settings. You can do this settings in the “Plots” panel as shown in Fig. 15 No.1. In the “Tool” option, first the user can select desirable domain for start and end year. In “Chart Options”, you can type a proper title (Fig. 15 No.2, in this sample we have typed “SPI Mashhad”) for your graph and also if you want your graph has horizontal line in the background you can click the “H-Line” option (Fig. 15 No.3). Figure 14. Select a name and path for the selected index’s outputs in an excel file. Figure 15. Assign some characteristics for Setting of the plot. 1
  • 9. 9 You have two options for selecting the color of the graph, namely “Grayscale” and “Color plot”. If you don’t select other colors you can just click “Grayscale” option, otherwise click on the combo box, then you can see lots of different colors and as well you can select one of them for the graph (Fig. 16). At last, you can choose your “type of plot” (Fig. 16 No. 1). There are three options, namely “BoxPlot”, “Linear”, and “Columnar” (Fig. 16 No. 1). Finally, after selecting the type of graph you can click on the “Plot” button, and observe the selected graph. The selected graph in this example is “Linear”, so in Fig.17 you can see it, according to this graph since the typed titled was “SPI Mashhad”, so in the presented graph you can see this title. If you want to change it you can easily do it by typing another one in the “Chart Option” panel. Figure 16. Select the proper color and title for the plot. Figure 17. Plot the desirable graph for the output of index.
  • 10. 10 In Fig. 18 and Fig. 19, we plotted the yearly boxplot of SPI values, and the yearly columnar plot of SPI, respectively by clicking the “Boxplot” and “Columnar” options. Figure 18. The yearly Boxplot for the output of SPI. Figure 19. The columnar plot for the yearly output of SPI.
  • 11. 11 Step 3:’Calculate Severity and Duration’ One of the most important characteristic that Agrimetsoft was considered in the DMAP (Drought Monitoring and Prediction) software, is calculating severity and duration of drought event. In Fig. 20 and in the right side of screen, you can see a panel with the name of “Severity”. In this panel for calculating the severity and duration of drought in a specific region, first of all you should determine the range of the desirable drought, for example in SPI the specific border of drought classification is less than -0.99. This border can easily find for every index according to the origin paper that was published for each index. You can select one of the two options, namely “More than” or “Less than”. Fig. 21 presented the severity and durations of drought index. In this sample, we have calculated SPI, so the label of “Y” axe is “SPI”. Also, as you can see in Fig. 21at the top the graph, there is a table that Figure 20. The severity panel for assign border.
  • 12. 12 Figure 21. The columnar plot for the yearly output of SPI. Figure 21. The values of severity and duration.
  • 14. 14